EEG: Probabilistic Learning with Affective Feedback: Exp #1
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- Size
- 5.82 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
100 results for "learning" · page 3 of 10 · ranked by relevance
[ demonstrating transfer learning for brain-computer interface skill acquisition…
…Continuous sensorimotor rhythm based brain computer interface learning in a large population…
[ Reinforcement learning task with 50 healthy controls (25…
…Value Twelve participants completed three learning tasks. In each task the goal…
This dataset comprises behavioral events and intracranial electrophysiological recordings from a categorized free recall task conducted across multiple clinical sites. Participants studied semantically organized word lists (12 items from 3 categories with paired exemplars), performed a distractor task, and freely recalled the words. The dataset includes monopolar and bipolar iEEG recordings with electrode localization information, supporting investigations of memory encoding and retrieval processes.
This dataset contains EEG and eye-tracking recordings from 30 participants who searched for objects in naturalistic scenes and intentionally memorized others, followed by a surprise recognition memory test. The study examines the 'search superiority effect,' testing whether incidentally encoded memories differ qualitatively from intentional ones through recollection and familiarity processes indexed by FN400 and late parietal ERP components. Behavioral remember-know judgments and ROC analyses were used alongside EEG measures to disentangle these memory processes.
THINGS-EEG2 is a large-scale EEG dataset comprising recordings from 10 subjects viewing 16,540 distinct training images and 200 test images presented via rapid serial visual presentation at 5 Hz. The dataset includes 63-channel EEG data sampled at 1000 Hz across 4 sessions per subject, with approximately 32,540 training trials and 16,000 test trials, designed to support computational modeling of human visual object recognition. Stimuli are drawn from the THINGS database, and the dataset includes resting-state recordings and behavioral annotations for each trial.
…the Reward Positivity during reinforcement learning. Participants were all SCID interviewed to…